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DTSTAMP:20260707T061641Z
UID:d5354c95-9e86-4ad9-a650-9f98730a675c
DTSTART:20220405T070000Z
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DESCRIPTION:National course open for PhD students\, postdocs\, researchers 
 and other employees within all Swedish universities. This course will intr
 oduce important aspects of Research Data Management through a series of le
 ctures and hands-on computer exercises. The course is intended for researc
 hers that want to take the first steps towards a more systematic and repro
 ducible approach to analysing and managing research data.\n\n*Topics cover
 ed will include:*\n\n* Open Science and FAIR in practice\n* Organising dat
 a\, files and folders in research projects\n* Versioning data\, documents 
 and scripts with Git\n* Describing data with metadata\n* Cleaning tabular 
 data and metadata with OpenRefine\n* Submitting data to public data reposi
 tories\n* Writing basic recipes for data analysis and visualisation with R
 \n\n*Learning objectives:*\n\n* To get acquainted with\, and reflect upon\
 , the principles of Open Science and FAIR\n* To understand the importance 
 of metadata\, and how it affects “FAIRness”\n* To learn how to organis
 e files to make project work more efficient\n* To learn to clean up messy 
 tabular data and metadata\n* To learn how to find\, and submit to\, releva
 nt public repositories for data publication\n* To learn to apply simple ve
 rsion control practices on files\n* To learn to start using R to analyse d
 ata
LOCATION:Uppsala University\, SciLifeLab\, BMC\, Husargatan 3\, Uppsala
SUMMARY:Introduction to Data Management Practices
URL;VALUE=URI:https://uppsala.instructure.com/courses/58273
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